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Results 4061-4070 of 18821 (Search time: 0.008 seconds).
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Issue DateTitleAuthor(s)
2013Semi-automatic dictionary curation for domain-specific ontologiesGavankar, Chetana
2010Automated System for interpreting Non-verbal Communication in Video ConferencingGavankar, Chetana
2015-10Context-driven Concept Search across Web Ontologies using Keyword QueriesGavankar, Chetana
2018A Utility Tool for Personalised MedicineGavankar, Chetana
2014Efficient Reuse of Structured and Unstructured Resources for Ontology PopulationGavankar, Chetana
2020-06Exploring Various Aspects of Gabor Filter in Classifying Facial ExpressionParameswaran, Seetha
2013Enriching Concept Search across Semantic Web OntologiesGavankar, Chetana
2012Enriching An Academic knowledge base using Linked Open DataGavankar, Chetana
2018-08Virtual Machine (VM) placement consolidates VMs into a minimum number of Physical Machines (PMs), which can be viewed as a Vector Bin-Packing (VBP) problem. Recent literature reveals the significance of first-fit-decreasing variants in solving VBP problems, however they suffer from reduced packing efficiency and delayed packing speed. This paper presents VM NeAR (VM Nearest and Available to Residual resource ratios of PM), a novel heuristic method to address the above said challenges in VBP. Further, we have developed Bulk-Bin-Packing based VM Placement (BBPVP) and Multi-Capacity Bulk VM Placement (MCBVP) as a solution for VBP. The simulation results on real-time Amazon EC2 dataset and synthetic datasets obtained from CISH, SASTRA shows that VM NeAR based MCVBP achieves about 1.6% reduction in the number of PMs and possess a packing speed which was found to be 24 times faster than exisiting state-of-the-art VBP heuristics.Jangiti, Saikishor
2020-09EMC2: Energy-efficient and multi-resource- fairness virtual machine consolidation in cloud data centresJangiti, Saikishor

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